Learn Programming Language R
This course is designed to provide learners with advanced skills in data manipulation, statistical modeling, data visualization, and machine learning using R. It aims to equip users with practical techniques and strategies that can be applied in real-world data analysis scenarios. Participants will learn to clean and reshape data, implement statistical models, create dynamic visualizations, and leverage machine learning algorithms effectively.
Advanced Data Manipulation in R
Statistical Modeling in R
Data Visualization Techniques
Machine Learning with R
Performance Optimization and Debugging
R for Big Data
Supervised Learning Techniques
Supervised learning is a core aspect of machine learning, where users learn to build models that can predict outcomes based on historical data. Understanding these techniques is essential for anyone looking to work in data science or predictive analytics.
Machine Learning in R - Supervised Learning
R Tutorial: Supervised Learning in R: Regression
Supervised Learning with R | Linear Regression | Decision Trees | Random Forest |Motor Trend US data